Assistant Professor Gachon University South Korea
Dr. Jawad Khan is an Assistant Professor at Gachon University, South Korea. With extensive experience in data science and artificial intelligence, Dr. Khan’s work focuses on semantic learning, machine learning, and natural language processing. He has made significant contributions to the fields of text mining, software engineering, and cloud computing. Dr. Khan is dedicated to advancing research in these areas through innovative approaches and interdisciplinary collaboration.
Profile
Scopus
Education
🎓 Dr. Khan completed his Ph.D. in Computer Science and Engineering from Kyung Hee University, South Korea, in 2020. His thesis, “An Ensemble-based Effective Features Engineering and Intelligent Unified Framework for Sentiment Analysis,” was supervised by Prof. Young-Koo Lee. He holds an M.Sc. in Computer Science from Kohat University of Science and Technology, Pakistan, where he developed a computerized hotel management system under the guidance of Mr. Qadeem Khan. He earned his B.Sc. in Computer Science from the University of Malakand, Pakistan.
Experience
💼 From October 2020 to February 2023, Dr. Khan served as a Postdoctoral Fellow in the Department of Applied Artificial Intelligence at Hanyang University, South Korea, focusing on big data mining and sentiment analysis. Prior to this, he was a Research Associate at Kyung Hee University, South Korea, from March 2014 to September 2020, where he worked on social media analytics and sentiment classification.
Research Interests
🔍 Dr. Khan’s research interests encompass data science, artificial intelligence, natural language processing, semantic learning, machine learning, deep learning, text mining, data mining, software engineering, computer vision, cloud computing, and IoT. He is particularly focused on developing intelligent frameworks for sentiment analysis and enhancing feature engineering techniques.
Awards & Honors
🏆 Dr. Khan has been honored with a fully funded Ph.D. scholarship from Kyung Hee University, which he held from March 2014 to September 2020. This prestigious award supported his doctoral studies and research in computer science and engineering.
Publications
📝 Dr. Khan has numerous publications in esteemed journals and conferences. Here are some of his notable works:
- Factors influencing vendor organizations in the selection of DevOps for global software development: an exploratory study using a systematic literature review. Cognition, Technology & Work (2023).
- Investigating the dynamic relationship between stigma of fear, discrimination and employees performance among healthcare workers during Covid-19 pandemic. Cognition, Technology & Work (2023).
- An empirical study for prioritizing issue of software project management team. Cognition, Technology & Work (2023).
- Human Activity Recognition Based on Deep-Temporal Learning Using Convolution Neural Networks Features and Bidirectional Gated Recurrent Unit With Features Selection. IEEE Access 11 (2023).
- Monkeypox detection using CNN with transfer learning. Sensors 23, no. 4 (2023).